Data Governance implementation | Azure Cloud | Cloud Data Engineer Interview Questions #interview
Advantages of PARQUET FILE FORMAT in Apache Spark | Data Engineer Interview Questions #interview
Using Partitioning for Optimizing the Query Performance | Big Data Interview Questions #interview
Understanding Apache Spark Architecture | Common Big Data Interview Questions #interview
What is DAG | DAGs in Spark provide a framework for optimized and fault-tolerant execution of tasks
Partitioning Vs Bucketing | Apache Spark Optimization Techniques #interview #question
Client Mode and Cluster Mode in Apache Spark Explained in 60 second #interview #question
Spark Application | Driver and Executor Role in Task Execution | DAG #interview #question
How is Apache Spark In-Memory Computation Different from MapReduce Processing | Highly Performant
Must Know Big Data Interview Questions | Row Based Vs Column Based File Format #interviewn#question
Real-time Big Data Project Common Scenarios | How are Duplicates handled in PySpark #interview
Understanding ACID Properties Under 60 seconds #interview #question
Understanding How Apache Spark Works Underneath the Hood | MapReduce Processing Big Data #interview
Important Types in Data Modeling | Interview Questions for Big Data Interviews #interview #bigdata
Important Big Data Terminologies | Name Node & Data Node | Spark architecture #interview
Understanding the Working of Azure Data Factory Service in Simple Terms #interview #question
DSA Question | Analytical Problem Solving | Logic building | Puzzle #interview #question
Understanding Azure Data Factory Service | Data Factory Vs Databricks #interview #question
Learning the Difference between Spark Session and Spark Context | Big Data #interview #question
Explanation on Handling Duplicate Rows in PySpark | dropDuplicates() | dropDuplicates(column_name)
Understanding the Different Types of Fact Tables in ETL | Extract Transform & Load #interview #sql
Understanding the Difference Between Repartition and Coalesce in Spark | Spark Optimization Strategy
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Medallion Architecture Explained in 60 Seconds |Azure Cloud - BRONZE, SILVER & GOLD Layer#interview
Understanding How to Handle Data Skewness in PySpark #interview
Understanding the Working of Apache Spark's Catalyst Optimizer in Improving the Query Performance
Understanding Slowly Changing Dimension SCD in ETL under 60 Seconds #interview #question
Ensuring Uniquness of Incoming Data in Incremental Load | Spark #interview
Understanding Apache Spark's Adaptive Query Execution - AQE| Spark Optimization Strategy #interview
Understanding the Use-Case of Snowflake Schema : Transactional or Reporting Database #interview
Explanation of Normal Forms | 1NF, 2NF, 3NF, 4NF #sql #interview
Exploring an Important feature of Spark Session #interview #bigdata
Understanding the Evaluation of Jobs, Stages and Tasks in a Spark Job #interview #question
Understanding Apache Spark's Optimizations Strategy | Lazy Evaluation for Performance Optimization
Understanding Change Data Capture CDC in Databricks #interview #question
Understanding Normalization under 60 Seconds | Data Engineering Interview Questions
Amazon Redshift's Sortkey Vs Distkey Explanation | AWS Services | #interview #question
Understanding Left Join | Left Join Vs Left Anti-Join | Spark #interview #question
Understanding How to Handle Cold Start Issue in Lambda Functions #interview #tips
Exploring AWS Services | Understanding Amazon Redshift Spectrum & Glue Catalog #interview #question
Spark Vs MapReduce Explained under 60Seconds | Exploring Advantages & Unlocking Efficiency of Spark
Explaining the Hash Function Employed in Bucketing Optimization within Apache Spark #interview
Partitions and CPU Core Allocation in Apache Spark
Ensuring Data Quality in Apache Spark | Best Practices for High Quality Data #interview #question
Understanding Slowly Changing Dimensions - SCD Type 2 in Apache Spark #interview #question
Understanding how to Optimize PySpark Job | Cache | Broadcast Join | Shuffle Hash Join #interview
Partitioning Vs Bucketing in Apache Spark under 60 Seconds #inteview #question
Understanding the Different Join Strategies in PySpark | Broadcast Join & Sort Merge Join #interview
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Hey!
I'm Sumit Mittal - Founder & CEO of TrendyTech.
I transform the careers of Big data aspirants through my carefully curated masters program to help them evolve into Big data experts. I have put in my wholehearted effort to present to you the best online big data course through the experience gained by having worked on multiple challenging Big data projects as an EX-CISCO and VMware employee.
The journey began in 2018 with my passion for teaching. Started by training a few working professionals, and eventually quit my high-paying job to pursue my passion and to bring about a change in the professional lives of many.
I have incorporated effective learning approaches to master Big Data that have been assimilated over the years as an alumni of top educational organizations like NIT Trichy, BITS Pilani, and IIIT Bangalore.
Link to my website: trendytech.in
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